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Description:

pytimeparse2 1.7.1

This is a pytimeparse based project with the aim of optimizing functionality and providing stable support.
Copyright (c) 2021 Sergey Klyuykov <onegreyonewhite@mail.ru>
Licensed under the MIT License (see source file pytimeparse2.py for
details).
A small Python library to parse various kinds of time expressions,
inspired by
this StackOverflow question.
The single function pytimeparse2.parse defined in the library parses time
expressions like the following:

32m
2h32m
3d2h32m
1w3d2h32m
1w 3d 2h 32m
1 w 3 d 2 h 32 m
4:13
4:13:02
4:13:02.266
2:04:13:02.266
2 days, 4:13:02 (uptime format)
2 days, 4:13:02.266
5hr34m56s
5 hours, 34 minutes, 56 seconds
5 hrs, 34 mins, 56 secs
2 days, 5 hours, 34 minutes, 56 seconds
1.2 m
1.2 min
1.2 mins
1.2 minute
1.2 minutes
172 hours
172 hr
172 h
172 hrs
172 hour
1.24 days
5 d
5 day
5 days
5.6 wk
5.6 week
5.6 weeks

It returns the time as a number of seconds (an integer value if
possible, otherwise a floating-point number):
>>> from pytimeparse import parse
>>> parse('1.2 minutes')
72
For months and years, the library does not consider complications such as leap-
years and leap-seconds. Instead, it assumes “30 days for a month” and “365 days
for a year” as the basis for calculations with those units.

2 mo
2 months
3y
3 years
1y2mo3w4d5h6m7s8ms

For better capability with dates, use keyword as_timedelta=True which mark for function returns
value as datetime.timedelta or dateutil.relitivedelta.relativedelta (if installed):
>>> from pytimeparse import parse
>>> parse('24h', as_timedelta=True)
relativedelta(days=+1)
You can also forced disable dateutil support by calling disable_dateutil() before parse(...).
For returning support call enable_dateutil().

Notes
A number of seconds can be converted back into a string using the
datetime module in the standard library, as noted in
this other StackOverflow question:
>>> from pytimeparse import parse
>>> import datetime
>>> parse('1 day, 14:20:16')
138016
>>> str(datetime.timedelta(seconds=138016))
'1 day, 14:20:16'

Future work

Speed up with Cython for some python versions.
Use github actions for testing and releasing.